Introduction

This dashboard presents a Gas Station Relocation Analysis aimed at identifying and suggesting relocation for fuel stations located within a 200-meter range of schools in Boston. Using spatial data processing and visualization through R (ggplot2 + sf), the analysis integrates multiple geospatial layers—schools, existing fuel stations, and city boundaries—to detect proximity violations and explore safer, more suitable locations for gas stations.

Plot 1 – Distribution of Fuel Stations in Boston

This map displays all existing fuel stations across Boston, where each point represents a station’s precise location. The color coding helps visualize the spatial density and spread of fuel stations across the city, serving as the foundation for later proximity analysis.

Plot 2 – Distribution of Schools in Boston

This map visualizes school locations across Boston, helping identify regions with higher educational density. Overlaying these with fuel station data allows for detecting areas where schools and fuel stations are located in close proximity.

Plot 3 – Fuel Stations Within 200m of Schools

This visualization highlights fuel stations that fall within a 200-meter buffer zone around schools. The color distinction marks which stations are within the restricted range, identifying those that require relocation consideration due to safety or zoning concerns.

Plot 4 – Regional Distribution of Fuel Stations

This bar chart summarizes the number of fuel stations per region or district in Boston. It provides a broader view of fuel infrastructure density, helping prioritize areas where relocation or redistribution efforts may be most necessary.

The GitHub repository linked here contains all code, data, and steps I used to build these maps, ensuring full transparency and reproducibility.